Scaling Compute

Document type: Programme thesis

---

Author: Suraj Bramhavar

---

Date published: 25 November 2024

---

Version: 2

---

DOI: https://doi.org/10.67475/scav2x-r8th

---

 

Abstract

The digital computing paradigm as we know it has been an incredibly unique economic engine.  Few technologies in human history have provided compounding exponential improvements over fifty-plus years. This growth trajectory has now clearly ended, as traditional methods for improving hardware performance have become economically unviable[1]. 

Nature has evolved to process complex information in an entirely different way, and has proven incredibly efficient at doing so. Looking to nature provides us with an existence proof that  it is fundamentally possible to accomplish sophisticated information processing much more efficiently than current computers.